/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.util.normalize.output.nominal;
import java.util.ArrayList;
import java.util.List;
import org.encog.util.normalize.input.InputField;
import org.encog.util.normalize.input.InputFieldCSVText;
import org.encog.util.normalize.output.BasicOutputField;
/**
* An output field that uses the "on of" technique to represent input data. For
* example, if there were five nominal items, or classes, given then each one
* would be represented by a single output neuron that would be on or off.
*
* Often the OutputEquilateral class is a better choice to represent nominal
* items.
*
*/
public class OutputOneOf extends BasicOutputField {
/**
* The nominal items to represent.
*/
private final List<NominalItem> items = new ArrayList<NominalItem>();
/**
* What is the true value, often just "1".
*/
private double trueValue;
/**
* What is the true value, often just "0" or "-1".
*/
private double falseValue;
/**
* Default constructor for reflection.
*/
public OutputOneOf() {
this(1,-1);
}
/**
* Construct a one-of field and specify the true and false value.
*
* @param trueValue
* The true value.
* @param falseValue
* The false value.
*/
public OutputOneOf(final double trueValue, final double falseValue) {
this.trueValue = trueValue;
this.falseValue = falseValue;
}
/**
* Base the field on a csv text field.
* @param csv The field.
* @param trueValue
* The true value.
* @param falseValue
* The false value.
*/
public OutputOneOf(InputFieldCSVText csv, final double trueValue, final double falseValue) {
this.trueValue = trueValue;
this.falseValue = falseValue;
for(String s: csv.getMappings().keySet() ) {
addItem(csv,csv.getMappings().get(s));
}
}
/**
* Add a nominal value specifying a single value, the high and low values
* will be 0.5 below and 0.5 above.
*
* @param inputField The input field to use.
* @param value The value to calculate the high and low values off of.
*/
public void addItem(final InputField inputField, final double value) {
addItem(inputField, value - 0.5, value + 0.5);
}
/**
* Add a nominal item, specify the low and high values.
*
* @param inputField The input field to base everything from.
* @param low The high value for this nominal item.
* @param high The low value for this nominal item.
*/
public void addItem(final InputField inputField, final double low,
final double high) {
final NominalItem item = new NominalItem(inputField, low, high);
this.items.add(item);
}
/**
* Calculate the value for the specified subfield.
*
* @param subfield
* The subfield to calculate for.
* @return The calculated value for this field.
*/
public double calculate(final int subfield) {
final NominalItem item = this.items.get(subfield);
return item.isInRange() ? this.trueValue : this.falseValue;
}
/**
* @return The false value.
*/
public double getFalseValue() {
return this.falseValue;
}
/**
* @return The number of subfields, or nominal classes.
*/
public int getSubfieldCount() {
return this.items.size();
}
/**
* @return The true value.
*/
public double getTrueValue() {
return this.trueValue;
}
/**
* Not needed for this sort of output field.
*/
public void rowInit() {
}
}